The role involves building a high-performance cloud-native stack for data, developing internal tooling for data management, and implementing a metadata layer. Responsibilities include deploying scalable solutions, maintaining cloud infrastructure, and ensuring quality tools for engineers.

As a Mission Analyst, you'll drive test vehicles, log data, assist engineers with system performance, and ensure safety protocols are followed during vehicle testing and validation.

Manage and mentor a team building scalable ML infrastructure: design cloud services for data ingest, workflow orchestration, and distributed training; implement MLOps practices; integrate ML pipelines with production reliability and stability.

Develop auto-labeling and data augmentation solutions for perception and mapping. Collaborate on algorithms, analyze data, and deploy ML models.

Develop and validate camera hardware and image processing pipelines, collect and analyze lab and vehicle camera data, tune sensors, troubleshoot image quality, design sensor hardware and software, and collaborate with perception teams to assess end-to-end camera performance.

Develop and maintain embedded software for autonomous vehicle systems, collaborating with a multidisciplinary team to optimize network communication and ensure safety.

The Senior Integration and Test Engineer will lead test strategy, optimize workflows, ensure data integrity, and manage testing schedules for automated driving technologies.